Cited by 111EEG and Brain-Computer InterfacesTranscranial Magnetic Stimulation StudiesPsychotherapy Techniques and Applications

Electroencephalographic neurofeedback: level of evidence in mental and brain disorders and suggestions for good clinical practice

Micoulaud-Franchi, J.-A., McGonigal, A., Lopez, R., Daudet, C., Kotwas, I., Bartolomei, F.·2015·Neurophysiologie Clinique/Clinical Neurophysiology

Abstract

The technique of electroencephalographic neurofeedback (EEG NF) emerged in the 1970s and is a technique that measures a subject's EEG signal, processes it in real time, extracts a parameter of interest and presents this information in visual or auditory form. The goal is to effectuate a behavioural modification by modulating brain activity. The EEG NF opens new therapeutic possibilities in the fields of psychiatry and neurology. However, the development of EEG NF in clinical practice requires (i) a good level of evidence of therapeutic efficacy of this technique, (ii) a good practice guide for this technique. Firstly, this article investigates selected trials with the following criteria: study design with controlled, randomized, and open or blind protocol, primary endpoint related to the mental and brain disorders treated and assessed with standardized measurement tools, identifiable EEG neurophysiological targets, underpinned by pathophysiological relevance. Trials were found for: epilepsies, migraine, stroke, chronic insomnia, attentional-deficit/hyperactivity disorder (ADHD), autism spectrum disorder, major depressive disorder, anxiety disorders, addictive disorders, psychotic disorders. Secondly, this article investigates the principles of neurofeedback therapy in line with learning theory. Different underlying therapeutic models are presented didactically between two continua: a continuum between implicit and explicit learning and a continuum between the biomedical model (centred on "the disease") and integrative biopsychosocial model of health (centred on "the illness"). The main relevant learning model is to link neurofeedback therapy with the field of cognitive remediation techniques. The methodological specificity of neurofeedback is to be guided by biologically relevant neurophysiological parameters. Guidelines for good clinical practice of EEG NF concerning technical issues of electrophysiology and of learning are suggested. These require validation by institutional structures for the clinical practice of EEG NF.

Integrity signals

Registry

Crossref · 10.1016/j.neucli.2015.10.077

Cites

112 of 112 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Cites

Flagged first, then by citations

1 of the 113 references couldn’t be matched to a known paper.

Cited by

Sorted by citations

Authors
Micoulaud-Franchi, J.-A., McGonigal, A., Lopez, R., Daudet, C., Kotwas, I., & Bartolomei, F.
Affiliations
  • Inserm (FR)
  • Hôpital Gui de Chauliac (FR)
  • Université de Bordeaux (FR)
  • Aix-Marseille Université (FR)
Venue
Neurophysiologie Clinique/Clinical Neurophysiology
Publisher
Elsevier BV
Published
2015-12
Volume
45
Issue
6
Pages
423-433
ISSN
0987-7053 (ISSN-L)
OpenAlex
W2194336409
Cited by
111
References
113
Citations by year
2026: 6 · 2025: 8 · 2024: 10 · 2023: 6 · 2022: 13 · 2021: 16 · 2020: 14 · 2019: 13 · 2018: 9 · 2017: 8 · 2016: 8
FWCI
0.83
Type
journal article
Language
en
Open access
closed
Locations
  • Neurophysiologie Clinique (publishedVersion)
  • PubMed (publishedVersion)
  • HAL (submittedVersion)
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
  • Life Sciences › Neuroscience › Neurology › Transcranial Magnetic Stimulation Studies
  • Social Sciences › Psychology › Clinical Psychology › Psychotherapy Techniques and Applications
Keywords
neurofeedback, level of evidence, mental illness, brain disorders, epilepsy, migraine, stroke, chronic insomnia, attention deficit hyperactivity disorder, autism spectrum disorder, major depressive disorder, anxiety disorders, addiction, psychosis, explicit and implicit learning, biopsychosocial model, cognitive remediation, learning theory, treatment efficacy
MeSH terms
Mental Disorders, Brain Diseases, Electroencephalography, Humans, Evidence-Based Medicine, Neurofeedback

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review